We report statistics for several word segmentation techniques that have proven useful in previous SMT research, including
frequency-based compound splitting [1]}, rule-based hyphenation [2]}, and Morfessor [3]}.
We find that they only moderately reduce vocabulary size, and do not solve the unknown word problem, and we thus find them unsuitable for our goal of open-vocabulary translation without back-off dictionary.
